Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A method, comprising: receiving, by a system, from one or more unmanned vehicles mobile device performance data transmitted by a plurality of different networks included within a geographical area defined as part of a test plan that further indicates the mobile device performance data to be collected from the plurality of different networks, the mobile device performance data including subscriber trace data, performance log data, dropped call data, blocked call data, and radio frequency (RF) data; analyzing, by the system, the received mobile device performance data; adjusting, by the system, the test plan in real time based on the analysis of the received mobile device performance data; and performing, by the system, one or more mobile network related tasks corresponding to the geographical area based on the analysis of the received mobile device performance data.
A system analyzes mobile network performance data collected by unmanned vehicles (drones or ground vehicles) within a specific geographic area. The unmanned vehicles collect subscriber trace data, performance logs, dropped/blocked call data, and radio frequency data from different mobile networks, as defined by a test plan. The system then analyzes this data and adjusts the test plan in real-time (e.g., change the drone's flight path) based on the initial analysis. Finally, based on the analysis of the performance data, the system performs mobile network related tasks such as identifying coverage holes, optimizing network parameters, or diagnosing call quality issues within the area.
2. The method of claim 1 , wherein the one or more mobile network related tasks include generating one or more radio frequency (RF) attribute maps.
The system, as described above, analyzing mobile network performance data collected by unmanned vehicles to perform mobile network related tasks, includes the specific mobile network related task of generating radio frequency (RF) attribute maps. These maps visually represent signal strength, interference, and other RF characteristics across the geographical area, aiding in network planning and optimization.
3. The method of claim 1 , wherein the one or more mobile network related tasks include investigating Evolved High-Speed Packet Access (HSPA+) service performance.
The system, as described above, analyzing mobile network performance data collected by unmanned vehicles to perform mobile network related tasks, includes the specific mobile network related task of investigating Evolved High-Speed Packet Access (HSPA+) service performance. This involves analyzing data related to HSPA+ network speeds, latency, and reliability to identify areas where performance is below expectations.
4. The method of claim 1 , wherein the one or more mobile network related tasks include investigating Long Term Evolution (LTE) service performance.
The system, as described above, analyzing mobile network performance data collected by unmanned vehicles to perform mobile network related tasks, includes the specific mobile network related task of investigating Long Term Evolution (LTE) service performance. This involves analyzing data related to LTE network speeds, latency, and reliability to identify areas where performance is below expectations.
5. The method of claim 1 , wherein the one or more mobile network related tasks include providing detailed diagnostics for dropped calls.
The system, as described above, analyzing mobile network performance data collected by unmanned vehicles to perform mobile network related tasks, includes the specific mobile network related task of providing detailed diagnostics for dropped calls. This involves pinpointing the root causes of dropped calls by analyzing RF conditions, network congestion, and equipment malfunctions to improve network stability.
6. The method of claim 1 , wherein the one or more mobile network related tasks include providing detailed diagnostics for blocked calls.
The system, as described above, analyzing mobile network performance data collected by unmanned vehicles to perform mobile network related tasks, includes the specific mobile network related task of providing detailed diagnostics for blocked calls. This involves pinpointing the root causes of blocked calls by analyzing network capacity, resource allocation, and equipment malfunctions to improve network accessibility.
7. The method of claim 1 , wherein the one or more mobile network related tasks include optimizing network coverage of at least one network.
The system, as described above, analyzing mobile network performance data collected by unmanned vehicles to perform mobile network related tasks, includes the specific mobile network related task of optimizing network coverage of at least one network. This involves adjusting parameters such as antenna tilt and power levels to improve signal strength and reduce coverage holes within the geographical area.
8. The method of claim 1 , wherein the one or more unmanned vehicles include an unmanned aerial vehicle.
The system, as described above, analyzing mobile network performance data collected by unmanned vehicles to perform mobile network related tasks, uses an unmanned aerial vehicle (drone) to collect the mobile device performance data.
9. The method of claim 1 , wherein the one or more unmanned vehicles include an unmanned ground-based vehicle.
The system, as described above, analyzing mobile network performance data collected by unmanned vehicles to perform mobile network related tasks, uses an unmanned ground-based vehicle to collect the mobile device performance data.
10. The method of claim 1 , wherein the geographical area includes an indoor area.
The system, as described above, analyzing mobile network performance data collected by unmanned vehicles to perform mobile network related tasks, operates within a geographical area that includes an indoor area (e.g., a shopping mall or office building).
11. The method of claim 1 , wherein the geographical area includes an outdoor area.
The system, as described above, analyzing mobile network performance data collected by unmanned vehicles to perform mobile network related tasks, operates within a geographical area that includes an outdoor area (e.g., a city park or rural landscape).
12. The method of claim 1 , wherein the mobile device performance data is acquired by the one or more unmanned vehicles utilizing at least one portable testing platform included with the one or more unmanned vehicles.
The system, as described above, analyzing mobile network performance data collected by unmanned vehicles to perform mobile network related tasks, uses a portable testing platform attached to the unmanned vehicle to acquire the mobile device performance data. This platform contains the necessary equipment to capture and transmit the required data (subscriber trace data, performance log data, dropped/blocked call data, and RF data) from the mobile network.
13. The method of claim 1 , wherein the one or more mobile network related tasks include planning a small cell deployment project.
The system, as described above, analyzing mobile network performance data collected by unmanned vehicles to perform mobile network related tasks, includes the specific mobile network related task of planning a small cell deployment project. The system identifies optimal locations for new small cell base stations to improve network capacity and coverage based on the collected performance data.
14. The method of claim 1 , wherein the one or more unmanned vehicles generate a flight plan for testing.
The system, as described above, analyzing mobile network performance data collected by unmanned vehicles to perform mobile network related tasks, includes unmanned vehicles that generate a flight plan for testing. The drone or other aerial vehicle automatically determines the optimal path to collect network performance data based on the geographical area and the test plan requirements.
15. The method of claim 1 , wherein the one or more unmanned vehicles generate a driving plan for testing.
The system, as described above, analyzing mobile network performance data collected by unmanned vehicles to perform mobile network related tasks, includes unmanned vehicles that generate a driving plan for testing. The ground-based vehicle automatically determines the optimal path to collect network performance data based on the geographical area and the test plan requirements.
16. The method of claim 1 , wherein the one or more unmanned vehicles include the system.
The system, as described above, analyzing mobile network performance data collected by unmanned vehicles to perform mobile network related tasks, is also an unmanned vehicle. Thus, the data collection, analysis, test plan adjustment, and task performance all occur on the unmanned vehicle itself.
17. A non-transitory computer readable medium comprising a computer program product, the computer program product comprising computer code for: receiving, by a system, from one or more unmanned vehicles mobile device performance data transmitted by a plurality of different networks included within a geographical area defined as part of a test plan that further indicates the mobile device performance data to be collected from the plurality of different networks, the mobile device performance data including subscriber trace data, performance log data, dropped call data, blocked call data, and radio frequency (RF) data; analyzing, by the system, the received mobile device performance data; adjusting, by the system, the test plan in real time based on the analysis of the received mobile device performance data; and performing, by the system, one or more mobile network related tasks corresponding to the geographical area based on the analysis of the received mobile device performance data.
A non-transitory computer readable medium stores a program that, when executed, causes a system to analyze mobile network performance data collected by unmanned vehicles (drones or ground vehicles) within a specific geographic area. The unmanned vehicles collect subscriber trace data, performance logs, dropped/blocked call data, and radio frequency data from different mobile networks, as defined by a test plan. The system then analyzes this data and adjusts the test plan in real-time (e.g., change the drone's flight path) based on the initial analysis. Finally, based on the analysis of the performance data, the system performs mobile network related tasks such as identifying coverage holes, optimizing network parameters, or diagnosing call quality issues within the area.
18. The computer program product of claim 17 , wherein the computer program product is operable such that the one or more mobile network related tasks include generating one or more radio frequency attribute maps.
The computer program, as described above, for analyzing mobile network performance data collected by unmanned vehicles to perform mobile network related tasks, is operable such that the mobile network related task is generating radio frequency (RF) attribute maps. These maps visually represent signal strength, interference, and other RF characteristics across the geographical area, aiding in network planning and optimization.
19. The computer program product of claim 17 , wherein the computer program product is operable such that the one or more mobile network related tasks include investigating HSPA+ service performance.
The computer program, as described above, for analyzing mobile network performance data collected by unmanned vehicles to perform mobile network related tasks, is operable such that the mobile network related task is investigating Evolved High-Speed Packet Access (HSPA+) service performance. This involves analyzing data related to HSPA+ network speeds, latency, and reliability to identify areas where performance is below expectations.
20. A system comprising: a memory system; and one or more processing cores coupled to the memory system and that are each configured for: receiving, by the system, from one or more unmanned vehicles mobile device performance data transmitted by a plurality of different networks included within a geographical area defined as part of a test plan that further indicates the mobile device performance data to be collected from the plurality of different networks, the mobile device performance data including subscriber trace data, performance log data, dropped call data, blocked call data, and radio frequency (RF) data; analyzing, by the system, the received mobile device performance data; adjusting, by the system, the test plan in real time based on the analysis of the received mobile device performance data; and performing, by the system, one or more mobile network related tasks corresponding to the geographical area based on the analysis of the received mobile device performance data.
A system comprises a memory and one or more processors configured to analyze mobile network performance data collected by unmanned vehicles (drones or ground vehicles) within a specific geographic area. The unmanned vehicles collect subscriber trace data, performance logs, dropped/blocked call data, and radio frequency data from different mobile networks, as defined by a test plan. The system then analyzes this data and adjusts the test plan in real-time (e.g., change the drone's flight path) based on the initial analysis. Finally, based on the analysis of the performance data, the system performs mobile network related tasks such as identifying coverage holes, optimizing network parameters, or diagnosing call quality issues within the area.
Unknown
August 29, 2017
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